Boost Grafana Projects with Vollna's Tools

Remote · Freelance · Part-time or Project-based / Consulting

Requirements:

· Proven hands-on experience as an SRE or Cloud DevOps Engineer in production environments (5+ years).
· Deep expertise in AWS — EC2, RDS, ECS, EKS, IAM, CloudFormation, Lambda, Route 53, CloudWatch.
· Strong command of Kubernetes and Docker for container orchestration and deployment.
· Hands-on experience with Terraform and/or Ansible for infrastructure automation and configuration management.
· Solid CI/CD background — GitLab CI, Jenkins, GitHub Actions, or Azure DevOps.
· Proficiency in Bash and Python for scripting, automation, and operational tooling.
· Experience with monitoring and observability stacks: ELK, Grafana, New Relic, Nagios, or equivalent.
· Proven track record in incident response, root cause analysis, and on-call production support.
· Strong written and spoken English — you will communicate directly with clients.

Nice to Have:

· Experience with cloud migrations from legacy on-prem or hybrid environments.
· Familiarity with additional clouds — GCP, Azure, DigitalOcean, or OpenStack.
· Background in BCP/Disaster Recovery planning and SLI/SLO/SLA management.
· Knowledge of Puppet, Perl, or Ruby for configuration and automation.
· Experience deploying and supporting web applications on Apache, Nginx, or Tomcat (PHP, Node.js, Django).
· ITIL process knowledge and experience working with Change Advisory Boards (CAB).

To Apply:

Please include a brief note describing a production infrastructure you have supported: cloud environment, approximate scale, your specific role, and any significant incidents, migrations, or reliability improvements you have delivered.

Remote · Freelance · Part-time/Consulting

Summary:

We are a growing engineering consultancy working with production-grade AI and data systems. We are expanding our expert network and looking for seasoned engineers who enjoy working on complex, real-world infrastructure — not greenfield toy projects. If you have built and operated ML platforms, data pipelines, or cloud-native analytics systems at scale, we want to talk.

Responsibilities:

· Design and operate cloud-native data platforms on AWS and/or GCP in production environments.
· Build and maintain batch and real-time ETL/ELT pipelines using Airflow, Spark, Kafka, dbt, and Flink.
· Develop and operate MLOps pipelines: model versioning, drift detection, auto-scaling, and continuous training.
· Deploy and monitor machine learning models in real-time and batch environments.
· Implement platform observability: Prometheus, Grafana, OpenTelemetry, CloudWatch.
· Guide clients through platform decisions, migrations, and cost optimizations.
· Deliver clear, actionable recommendations and engineering best practices.

Requirements:

· Proven production experience with ML infrastructure or data platforms at scale.
· Hands-on expertise with AWS (SageMaker, EMR, ECS/EKS, Step Functions) or GCP (BigQuery, Vertex AI, GKE).
· Strong command of MLOps tooling: MLflow, Kubeflow, TFX, or SageMaker Pipelines.
· Experience with data engineering frameworks: Airflow, Spark, Kafka, dbt, and Delta Lake / Iceberg.
· Proficiency in Python, SQL, and at least one of: Go, Bash, Java
Familiarity with Kubernetes, Docker, Helm, and IaC tools (Terraform, CloudFormation).
· A reliability-first mindset with a structured approach to troubleshooting.
· Strong written and spoken English — you will communicate directly with clients.

Engagement Details:

This is a part-time, consulting-based role with flexible hours. Ongoing or project-based depending on client needs. Well suited for senior data or ML engineers who prefer working on live, complex systems. We serve clients across FinTech, Healthcare, Retail, and SaaS.

To Apply:

Include a brief note describing an ML or data platform you have supported in production: approximate scale, architecture, your specific role, and any significant incidents or migrations you have handled. Generic applications without concrete examples will not be reviewed.

Title: MQTT / Node-RED / Grafana Developer for Industrial Vibration Monitoring Platform

We are looking for an experienced developer with strong knowledge of MQTT, Node-RED, Grafana, industrial telemetry, and real-time monitoring systems.

Project Overview:

We currently receive telemetry data from approximately 600 vibration monitoring points distributed across 20 different web servers/devices. All data is transmitted via MQTT (Mosquitto Broker) and centralized into a single server infrastructure.

The goal is to develop a professional monitoring and analytics platform focused on industrial vibration analysis and predictive maintenance.

Required Scope:

* Configure and optimize MQTT data ingestion architecture
* Process and organize incoming telemetry data from multiple remote devices/webservers
* Develop Node-RED flows for:

* data parsing
* alarm logic
* thresholds
* automation workflows
* Develop professional Grafana dashboards including:

* vibration trend graphs
* acceleration analysis
* temperature correlation
* RMS analysis
* historical trends
* min/max limits
* asset comparison dashboards
* equipment health indicators
* Create alarm management system with:

* warning thresholds
* critical thresholds
* event logging
* alarm acknowledgment
* Integrate alarm notifications via:

* WhatsApp
* Email
* Create scalable architecture capable of future expansion
* Preferably experience with industrial protocols and predictive maintenance systems

Technical Requirements:

* Mosquitto MQTT Broker
* Node-RED
* Grafana
* InfluxDB (preferred)
* MQTT telemetry processing
* Experience with industrial sensors
* Experience with vibration monitoring systems is highly desirable

Bonus Skills:

* Predictive maintenance experience
* Industrial IoT
* Modbus/BACnet knowledge
* Edge computing
* Docker/Linux server deployment
* Experience with real-time dashboards for industrial environments

Expected Deliverables:

* Fully operational dashboards
* Alarm and notification system
* Organized Node-RED flows
* Documentation
* Scalable server architecture
* Professional visualization pages for operators and management

Please send:

* Portfolio
* Similar projects
* Relevant Grafana dashboards
* Node-RED examples
* Estimated timeline
* Estimated cost

Long-term collaboration possible after successful deployment.

Hiring: GCP DevOps Engineer (2 Positions)

Experience: 5+ Years
Location: Remote
Contract Duration: 3 Months
Salary: ₹40,000 – ₹50,000/month

---

Key Responsibilities:

Infrastructure & Platform Engineering:

- Design and manage cloud infrastructure (GCP preferred / AWS / Azure) using Terraform
- Build and manage Kubernetes clusters (GKE/EKS/AKS) with multi-tenancy
- Implement auto-scaling (HPA/VPA) and optimize resource usage
- Ensure high availability, disaster recovery, and backup strategies

CI/CD & Release Engineering:

- Design and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
- Implement GitOps workflows for automated deployments
- Enable zero-downtime deployments (blue-green, canary)
- Automate database migrations, rollbacks, and environment setup

---

Required Skills:

- Strong experience with GCP (preferred), AWS or Azure
- Kubernetes & Docker containerization
- Terraform / Infrastructure as Code
- CI/CD pipeline design and implementation
- Linux system administration
- Networking fundamentals (TCP/IP, DNS, Load Balancing)
- Scripting (Python, Bash)

---

DevOps Tooling:

CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD
Observability: Prometheus, Grafana, ELK Stack, OpenTelemetry
Security: HashiCorp Vault, IAM, Container Security
Containers: Docker, Kubernetes, Helm

---

Skills: Linux, Azure, Amazon Web Services, Hadoop, Network Administration, Docker, Kubernetes, DevOps, Terraform, CI/CD

Nous recherchons un freelance senior DevOps Linux & Performance Applicative pour intervenir sur notre plateforme SaaS, spécialisée dans les campagnes emailing, SMS et WhatsApp pour analyser optimiser un problème lié au downtime et surcharge de ressource

Mission principale :
Stabiliser, monitorer et optimiser notre infrastructure Linux et notre plateforme applicative afin d’améliorer les performances, la disponibilité et la gestion de la haute charge lors des campagnes massives.

Environnement technique :

Linux Ubuntu/Debian
Laravel / PHP
MySQL / MariaDB
Redis
Nginx
Supervisor
Workers / Queues
API WhatsApp / SMS / Emailing

Missions :

Audit complet de l’infrastructure et de la plateforme
Analyse des causes de ralentissements et interruptions
Mise en place de monitoring et alerting
Optimisation Linux, PHP-FPM, MySQL et Redis
Optimisation des workers Laravel et queues
Stabilisation des campagnes massives
Optimisation consommation CPU/RAM/IO
Mise en place de bonnes pratiques production
Sécurisation et amélioration disponibilité plateforme

Compétences recherchées :

Forte expérience Linux production
Expérience SaaS haute charge
Laravel performance tuning
Monitoring (Grafana, Netdata, Uptime Kuma ou équivalent)
Redis / MySQL optimisation
Gestion workers & queues
Expérience emailing / campagnes / messaging appréciée

Important :
Nous ne recherchons pas un simple administrateur système ou support IT, mais un profil orienté production cloud applicative, performance et stabilité plateforme SaaS.

Skills: PHP, System Admin, Linux, Nginx, MySQL, Laravel, Redis, Application Performance Monitoring, Performance Tuning, SaaS

Company: Platformz

Client Environments: Platformz.us, FUR4.com, DMVRawFeeders.com, Rockerz.com, and additional enterprise-class custom builds

Position Type: Full-time, long-term, dedicated team member

Seniority: Senior Lead / Hands-on DevOps Manager

Location: Remote, with strong U.S. business-hour availability preferred

English Requirement: 5/5 verbal English, highly professional written English, and strong executive communication skills

About Platformz

Platformz is building the operating system behind modern brands.

We are creating what we believe is the first truly omnichannel worldwide distribution and operating platform: a predictive AI-powered business infrastructure system that connects commerce, portals, workflows, fulfillment, logistics, compliance, reporting, DevOps, customer operations, and executive management into unified real-time control layers.

The Platformz model is built around single panes of glass that allow leadership to proactively manage the entire company in real time with the least possible headcount and the greatest scalability. Our systems are designed to connect to worldwide retailers, e-tailers, marketplaces, fulfillment networks, distributors, dealer networks, vendor portals, customer portals, referral portals, and internal operating teams.

Platformz is not a basic web agency or simple ecommerce shop. We build enterprise-class custom operating environments for brands and businesses that need deep infrastructure, automation, control, scalability, and real-time visibility.

Current and active environments include:

Platformz.us — core operating system, control tower, DevOps, client infrastructure, automation, and platform framework

FUR4.com — global omnichannel pet brand, manufacturer, distributor, dealer, referral, marketplace, and control tower environment

DMVRawFeeders.com — recurring commerce, route-aware fulfillment, subscription/replenishment, and customer operations system

Rockerz.com — premium configurable commerce, customer/dealer/referral portals, and advanced frontend experience

Additional enterprise-class custom builds coming next

We need a serious senior DevOps leader who can help build, secure, automate, monitor, and scale the infrastructure behind all of this.

Role Overview

We are hiring a Senior DevOps Lead to own the DevOps function across Platformz and its client environments.

This person must be a true leader, but also highly hands-on. We do not need someone who only manages tickets or delegates work. We need someone who can organize the team, set standards, lead other DevOps resources, and personally do the heavy lifting when required.

The right person is fast-moving, highly organized, technically deep, security-minded, excellent in English, and capable of building systems that scale.

You will own our infrastructure, deployment pipelines, repositories, development environments, AWS stack, Cloudflare/DNS, Microsoft 365/Exchange, observability, secrets management, system health dashboards, SOC 2 readiness, AI-assisted repo automation, developer VMs, and DevOps team execution.

Key Requirements

This role requires someone who is:

A hands-on senior DevOps leader, not just a coordinator
Able to manage other DevOps team members and contractors
Able to do the hard technical work personally when needed
Extremely organized, fast-moving, and detail-driven
Strong enough to create structure where things are moving quickly
Comfortable working directly with founders, executives, developers, and outside vendors
A clear communicator with 5/5 verbal English
Able to explain complex technical issues clearly to non-technical leadership
Dedicated full-time and looking for a long-term role
Comfortable supporting multiple enterprise-class client environments at once

Core Responsibilities

1. DevOps Leadership and Team Management
Lead and manage the DevOps team day to day.
Assign work to other DevOps team members and make sure tasks are completed.
Personally handle critical DevOps work when speed, quality, or complexity requires it.
Build a disciplined DevOps operating cadence with daily priorities, weekly reviews, and clear accountability.
Create DevOps SOPs, runbooks, checklists, and documentation.
Own DevOps task tracking in Jira.
Make sure every DevOps task has an owner, due date, status, and clear outcome.
Coordinate across developers, project managers, executives, vendors, and outside contractors.
Build a long-term DevOps roadmap across Platformz, FUR4, DMV Rawfeeders, Rockerz, and future enterprise clients.

2. AWS Stack Ownership
Own the AWS infrastructure stack across production, staging, QA, sandbox, and development environments.
Manage AWS accounts, IAM, users, roles, policies, groups, MFA, permissions, and least-privilege access.
Manage AWS networking, VPCs, subnets, routing, security groups, load balancers, storage, compute, backups, and scaling.
Own AWS Secrets Manager and secrets governance.
Create secure handling for API keys, tokens, environment variables, credentials, certificates, and production secrets.
Support AWS services such as EC2, ECS, ECR, RDS, S3, CloudWatch, Lambda, Route 53, Secrets Manager, IAM, WAF, CloudFront, and related infrastructure as needed.
Build repeatable AWS environment setup processes.
Monitor AWS costs, usage, performance, and security risks.
Create disaster recovery and backup strategies for AWS-hosted systems.

3. Cloudflare, DNS, SSL, and Web Infrastructure
Own Cloudflare setup and management across Platformz and client domains.
Manage DNS records, SSL certificates, proxy settings, caching, redirects, firewall rules, WAF, page rules, rate limiting, bot protection, and domain security.
Manage domain routing across Platformz.us, FUR4.com, DMVRawFeeders.com, Rockerz.com, and future clients.
Maintain DNS documentation and change-control procedures.
Monitor domain health, SSL expiration, DNS propagation, uptime, and routing issues.
Create a clean process for launching new client domains, subdomains, portals, staging URLs, and production environments.

4. Bitbucket, Jira, and Repository Operations
Set up, organize, and secure Bitbucket repositories.
Create repo naming conventions, branch strategies, permissions, deployment workflows, and code ownership rules.
Implement branch protection, pull request rules, merge controls, and release controls.
Integrate Bitbucket with Jira so commits, tickets, pull requests, deployments, and releases are fully traceable.
Build CI/CD pipelines using Bitbucket Pipelines or equivalent tooling.
Maintain repo hygiene across multiple projects and client environments.
Standardize release workflows for staging, QA, production, hotfixes, and rollback.
Automate repo checks wherever possible.

5. CI/CD and Deployment Automation
Build reliable deployment pipelines for all Platformz and client environments.
Automate build, test, scan, package, deploy, verify, and rollback processes.
Create full deployment packages for developers.
Standardize deployment procedures across Platformz.us, FUR4.com, DMVRawFeeders.com, Rockerz.com, and future client builds.
Create repeatable environment promotion processes from development to staging to production.
Maintain deployment checklists, rollback plans, release notes, and production approval workflows.
Reduce manual deployment risk and eliminate undocumented production changes.

6. Developer VMs and Engineering Environments
Set up standardized developer VMs or cloud-based development environments.
Build full onboarding packages for developers, including repo access, environment setup, dependencies, tooling, credentials, local services, and deployment instructions.

Create golden images or reproducible setup scripts for developer machines.

Ensure developer environments are secure, consistent, and close to staging/production where practical.

Manage SSH keys, VPN access, MFA, credentials, API keys, and secrets.

Create onboarding and offboarding processes for developers and contractors.

Make sure new developers can become productive quickly without creating security or infrastructure risk.

7. Microsoft 365, Exchange, Identity, and Access Control

Administer Microsoft 365, Exchange, Outlook, Teams, SharePoint, OneDrive, and related tools.

Manage users, groups, shared mailboxes, aliases, distribution lists, security groups, and access policies.

Own MFA, conditional access, device policies, password policies, and identity security.

Create clean onboarding and offboarding workflows.

Maintain least-privilege access across Microsoft 365, AWS, Bitbucket, Jira, Cloudflare, New Relic, Hubstaff, and other systems.

Conduct regular access reviews and maintain audit-ready documentation.

8. New Relic, Observability, and Systems Health Control Tower

Own New Relic setup and optimization.

Configure APM, synthetics, logs, infrastructure monitoring, browser monitoring, API monitoring, alerting, and dashboards.

Build and maintain the Platformz Systems Health Control Tower.

Monitor uptime, latency, API health, backend health, frontend errors, integrations, database performance, third-party failures, deployment impact, and customer-facing issues.

Build dashboards for:
Site availability
Backend health
API health
Third-party integrations
AWS infrastructure
Cloudflare / DNS health
Deployment impact
Error rates
Core Web Vitals
System incidents
Client-specific environments
Create alerting rules, escalation paths, incident workflows, and postmortem processes.
Help leadership see system health in real time through a true single-pane-of-glass operating model.

9. AI-Assisted DevOps and Repo Automation

Platformz is an AI-native operating system company, so DevOps must also be AI-native.

This role will help build AI-assisted automation into every practical area of the development, deployment, monitoring, and compliance process.

Responsibilities include:

Implement AI-assisted pull request reviews.
Add automated code-quality checks.
Add automated security scanning.
Add exposed-secret detection.
Add dependency scanning.
Add infrastructure drift detection.
Add deployment-readiness checks.
Add documentation-gap detection.
Add automated release notes.
Add AI-assisted incident triage.
Add AI-assisted log classification.
Add AI-assisted test generation where practical.
Add AI-assisted compliance evidence collection.

Build workflows where AI helps identify risk before it becomes a production problem.

The goal is not casual AI usage. The goal is a fully automated, AI-assisted DevOps operating layer.

10. SOC 2, Security, and Compliance Readiness

Lead the technical side of SOC 2 readiness.
Implement controls for access, change management, monitoring, logging, incident response, backups, disaster recovery, vendor access, and security reviews.

Maintain evidence trails for audits.

Implement or manage tools for:
vulnerability scanning
dependency scanning
secret detection
endpoint protection
cloud security posture
log retention
access reviews
backup validation
incident response

Create technical policies and SOPs for:
onboarding
offboarding
admin access
production access
emergency access
deployment approvals
incident response
data backup
disaster recovery
vendor access

Work with leadership and outside compliance partners to build a practical SOC 2 roadmap.

11. Hubstaff, Time Tracking, and Operational Accountability
Configure and manage Hubstaff or equivalent time-tracking systems.

Integrate team accountability with Jira workflows where practical.

Help leadership understand developer capacity, project time, bottlenecks, and productivity.

Create reporting around work completed, work blocked, recurring issues, and team performance.

Support transparent work tracking for internal team members and outside contractors.

12. Multi-Client Enterprise Infrastructure

This role will support multiple enterprise-class environments, including:

Platformz.us
FUR4.com
DMVRawFeeders.com
Rockerz.com
Future enterprise clients and custom builds

Responsibilities include:

Separating client environments cleanly.

Managing client-specific secrets, access, domains, deployments, monitoring, and documentation.

Creating reusable infrastructure patterns that can be applied across future Platformz deployments.

Making sure each client environment improves the Platformz framework rather than becoming a disconnected one-off build.
Supporting scalable DevOps processes as new clients are added.

13. Incident Response and Reliability

Own incident response processes.
Create incident severity levels, escalation rules, and response procedures.
Lead root-cause analysis and postmortems.
Reduce recurring incidents through automation and better monitoring.
Build backup, restore, and disaster recovery processes.
Maintain uptime and performance standards.
Make sure critical systems are documented, monitored, and recoverable.

Required Experience

7+ years of DevOps, infrastructure, systems, platform, or cloud engineering experience.
3+ years leading DevOps engineers, contractors, or technical team members.
Strong AWS experience.
Strong AWS Secrets Manager and secrets-governance experience.
Strong Cloudflare, DNS, SSL, WAF, caching, and routing experience.
Strong Bitbucket and Git workflow experience.
Strong Jira administration and workflow experience.
Strong CI/CD pipeline experience.
Strong Microsoft 365 / Exchange administration experience.
Strong New Relic, observability, logging, monitoring, and alerting experience.
Experience setting up developer VMs or standardized developer environments.
Experience with SOC 2, ISO 27001, or similar compliance frameworks.
Strong Linux and Windows systems administration experience.
Strong security, IAM, MFA, SSO, and least-privilege access-control knowledge.
Experience with production web applications, APIs, databases, workers, containers, and third-party integrations.
Experience creating documentation, SOPs, runbooks, diagrams, and repeatable processes.
Excellent verbal English and written English.
Strongly Preferred
Experience supporting SaaS, ecommerce, marketplace, logistics, ERP, portal, or enterprise operating systems.
Experience managing multiple client environments at once.
Experience with AI-assisted engineering workflows.
Experience with automated security and compliance checks inside CI/CD.
Experience with Docker, ECS, Kubernetes, Terraform, Pulumi, Ansible, or similar infrastructure tools.
Experience with CloudWatch, Datadog, New Relic, Sentry, Grafana, or comparable systems.
Experience with Hubstaff or similar workforce accountability tools.
Experience building executive dashboards or systems health control towers.
Experience managing offshore or distributed development teams.
Experience in fast-moving founder-led environments.
Experience helping companies prepare for SOC 2.

First 30–60 Day Priorities

The first mission is to stabilize, organize, document, and harden the DevOps foundation.

Expected early deliverables:

Full audit of AWS infrastructure, Cloudflare, DNS, repos, users, permissions, deployments, monitoring, and risks.
Bitbucket and Jira cleanup plan.
Developer VM / onboarding package standard.
AWS Secrets Manager and credentials cleanup plan.
Microsoft 365 / Exchange access review.
New Relic / Systems Health Control Tower improvement plan.
Production deployment checklist.
Staging and production environment map.
Backup and disaster recovery review.
SOC 2 readiness gap list.
Security and access-control improvement plan.
Repo automation and AI-check roadmap.
Cloudflare and DNS documentation.
DevOps team operating cadence.
Clear report to leadership on what is broken, what is risky, what is missing, and what needs to be fixed first.
Success Metrics
Success in this role means:

DevOps becomes organized, documented, fast, and accountable.

Developers can onboard quickly into secure, standardized environments.

AWS, Cloudflare, DNS, Microsoft 365, Bitbucket, Jira, Hubstaff, and New Relic are cleanly administered.

Secrets are properly stored, rotated, protected, and documented.

Deployments are repeatable, traceable, and low-risk.

Repos are organized, protected, and AI-assisted.

Production systems are monitored in real time.

Leadership has a true single pane of glass into system health, deployment status, incidents, and infrastructure risk.

SOC 2 readiness is moving forward with real technical controls and evidence.

Platformz can support FUR4, DMV Rawfeeders, Rockerz, and future enterprise clients without creating chaos.

DevOps is no longer reactive. It becomes a disciplined, scalable operating function.

Personality and Work Style

We need someone who is:
A real leader
Very organized
Fast-moving
Calm under pressure
Hands-on
Willing to do the heavy lifting personally
Strong enough to manage other DevOps people
Clear and professional in English
Security-minded
Documentation-driven
Comfortable working directly with executives
Able to turn chaos into process
Long-term oriented
Dedicated full-time
Not looking for a side project or short-term contract

How to Apply

Please send:

Resume or LinkedIn profile
Summary of DevOps leadership experience
Examples of AWS, Cloudflare, DNS, CI/CD, monitoring, or SOC 2 environments you have owned
Tools and platforms you are strongest in
Your availability
Confirmation that you can work full-time and long-term
Brief explanation of why you are a strong fit for Platformz and our enterprise-class custom build environment

I want to stand up a full-stack IIoT environment on AWS tailored for a manufacturing plant. The platform must ingest machine performance data from shop-floor sensors, stream it securely into AWS, and expose three core capabilities: real-time monitoring, predictive maintenance, and rich analytics with clear reporting dashboards.

The flow I have in mind uses AWS IoT Core or Greengrass at the edge to collect OPC-UA/MQTT payloads, routes them through Kinesis or Kafka (open to your suggestion), lands the raw data in S3, and writes curated time-series to DynamoDB or Timestream for fast queries. From there I need:

• Live dashboards (Grafana, QuickSight, or a similar tool) that show cycle times, throughput, and alert me the moment a metric drifts outside tolerance.
• A predictive maintenance pipeline—SageMaker or an equivalent managed service is fine—training on historical failures, then pushing inference back to the edge so operators get early warnings.
• An analytics layer with pre-built reports I can slice by line, shift, and machine so managers don’t have to export raw CSVs.

Security (IAM, VPC design, TLS) and cost-efficient architecture are non-negotiable. Everything must be deployed via Infrastructure as Code—CloudFormation or Terraform—so we can recreate environments in staging and production.

Please outline:
1. Your proposed AWS services and data flow.
2. How you will implement real-time monitoring, predictive models, and reporting.
3. The deliverables, including IaC templates, source code, and a brief hand-off document.

If you have completed similar manufacturing IIoT builds on AWS, I would love to see a short demo or repo link with any confidential info stripped out.

Skills: Python, Cloud Computing, NoSQL Couch & Mongo, Amazon Web Services, Data Analytics, AWS Lambda, Data Visualization, AWS SageMaker

ABOUT THE PROJECT
GridWise Energy is deploying our Energy Saver Plus (ESP) system — a tariff-optimized energy management platform for gas station and mini-mart operators in the PG&E service territory. We are starting with a 60-day trial site for a customer with 21 locations, with full rollout to follow upon successful completion.

All integration work is 100% remote. Licensed on-site professionals handle all physical installation.

THE TECH STACK
• Edge controller: Advantech ARK-1123H (Linux-based, GridWise software pre-loaded)
• Wireless sensors: Dragino LHT65N-E3 + RAK WisGate Edge Lite 2 (ChirpStack)
• Power metering: AccuEnergy AcuRev 2100 (Modbus RTU / RS-485)
• BACnet/IP devices: Ecobee thermostats + Lutron Vive Hub
• Connectivity: Teltonika RUT955 dual-SIM LTE router
• Dashboard: ThingsBoard (customer-facing mobile dashboard)
• Cloud: GridWise portal + Leap Energy demand response integration

WHAT YOU WILL DO
• Configure Advantech edge controller and GridWise software stack
• Set up MQTT broker and LoRaWAN gateway (RAK WisGate / ChirpStack)
• Register Dragino LHT65N-E3 sensors via OTAA and validate telemetry
• Configure Modbus RTU polling for AcuRev 2100 power meter
• Commission BACnet/IP devices (Ecobee + Lutron Vive Hub)
• Build customer-facing ThingsBoard mobile dashboard with energy savings widgets, refrigeration temperature monitoring, DR event tracking, and automated alerts
• Deliver full SOW, per-site commissioning checklist, and 21-site replication playbook
• Provide remote support to on-site installation team during commissioning

REQUIRED SKILLS
• MQTT broker configuration and troubleshooting
• LoRaWAN gateway setup (ChirpStack preferred)
• Modbus RTU / RS-485 device integration
• BACnet/IP commissioning
• ThingsBoard dashboard development (CE or PE)
• Edge computing on Linux-based gateways
• Python (scripting and data pipeline work)
• Strong written English and clear communication

NICE TO HAVE
• AWS IoT Core or Azure IoT Hub experience
• Grafana / InfluxDB
• OTA device management experience
• Prior experience with energy management or building automation systems

PROJECT DETAILS
• Engagement type: Fixed-price contract with milestone payments
• Phase 1: 1-site 60-day trial
• Phase 2: Full 21-site rollout upon trial completion
• Ongoing: Monthly retainer available for continued support
• All work is remote
• Full Scope of Work document provided to selected candidate

TO APPLY
Please answer the following in your proposal:
1. Do you have hands-on BACnet/IP commissioning experience? Please describe.
2. Have you deployed or configured ThingsBoard for a customer-facing dashboard?
3. Describe a similar edge-to-cloud IoT integration project you have completed.

We are moving quickly on this. Looking forward to connecting.

Site Reliability Engineer , Application Monitoring rools like Splunk , Grafana , AWS etc

Skills : Splunk , Grafana , AWS , Servicenow ,

Daily Monday - Friday , 4 hrs .

Looking for some one who can train the Jr Developer .

Seeking a QA Engineer with strong experience in Performance and Load Testing.

Must have experience in:

Performance / Load / Stress Testing
API Performance Testing
Web Application Performance Analysis
JMeter / k6 (required)
Locust or Gatling (nice to have)
Monitoring & observability tools (Grafana, Prometheus, Datadog)
Basic understanding of backend systems (latency, throughput, bottlenecks)


You will be responsible for identifying performance bottlenecks, designing load scenarios, and providing actionable performance reports.

SUMMARY

We are building a hosted PBX service (PBXaaS) for SMB clients in Eastern Europe. We are running a commercial enterprise PBX product in a self-hosted (BYOI) configuration at a local datacenter, with integrations to national tier-1 telecom carriers and to an AI voice agent platform. First paying clients are lined up for production launch.

We are looking for a senior VoIP architect AND engineer — someone who can both ADVISE on architecture and DO the hands-on work when architectural changes need to happen. This is a fractional senior engineer role, NOT a pure consultant.

PHASE 1 — Initial consultation and architecture (1-3 weeks, 10-20 hours)
Review our current state, identify risks and pitfalls, deliver a written architecture and stability roadmap, and design any required SBC layer.

PHASE 2 — Ongoing monthly engagement (10-30 hours/month, 3-month minimum)
Hands-on engineering when architecture needs to evolve, advisory work, incident response, maintenance, and documentation.

We are looking for ONE person to fill both phases — a long-term technical partner who knows our system end-to-end and can both think about architecture AND fix it when it breaks at 2 AM.

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WHERE WE ARE TODAY
═══════════════════════════════════════════════════

WORKING:
- Core PBX platform deployed across multiple VMs at our datacenter
- Web softphone client — outgoing and incoming calls, clean audio
- Mobile softphone client — recently resolved a critical UDP fragmentation issue (root cause: PBX component VMs were placed on two different physical hypervisors, causing fragmented SIP INVITEs to drop on the inter-hypervisor physical network; fix was to colocate all PBX VMs on the same hypervisor)
- Outbound calls to national tier-1 carrier (A) — connected, answered, audio working
- AI voice agent integration via self-hosted SIP bridge for our first client — first message delivered, transfer flow to human extension working

NOT WORKING / OPEN PROBLEMS:
- Inbound calls from national tier-1 carrier A are in active configuration with the PBX vendor (private IP routing on MPLS, symmetric SIP). Two more national carriers are scheduled for integration in the next 3 months, with similar private-IP / symmetric-routing requirements.
- Multi-PBX scaling: 4 PBX nodes planned for ~400 concurrent calls. No load balancer, no DID-to-PBX routing, no failover orchestration yet.
- Production monitoring stack not in place — no centralized log collection, no metrics dashboards, no automated alerting.
- No documented backup and recovery procedure for the PBX cluster.
- AI voice agent runaway event last week — default-open configuration allowed unauthenticated conversation sessions. Resolved by locking auth + concurrency limits, but exposed lack of secure-by-default standards.

LESSONS LEARNED (last 6 weeks):
- PBX vendor support cycles are slow (10+ day email loops on non-trivial issues)
- National-carrier technical requirements are poorly documented
- Hypervisor placement matters for virtualized VoIP platforms
- Default configurations on cloud AI agent platforms are dangerous in production

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WHAT WE NEED FROM YOU
═══════════════════════════════════════════════════

PHASE 1 — CONSULTATION (1-3 weeks, 10-20 hours)

Deliver a written assessment covering:

1. Stability and reliability assessment — realistic uptime, failure modes, MTBF/MTTR per failure class

2. Prioritized stability and HA roadmap — what architectural changes give biggest reliability gain per hour of work, minimum viable HA setup

3. Multi-tenant carrier integration architecture decision:
- When is the PBX vendor's native multi-tenant trunk handling sufficient
- When should we deploy a separate SBC layer (Kamailio + RTPengine)
- Pattern for future carrier additions should be config change, not re-architecture
- Scaling path from 10 to 100 to 199 client PBX instances

4. Backup, recovery, and disaster scenarios — what MUST be backed up, RTO/RPO realistic for our scale, annual DR drill

5. Monitoring and observability — minimal stack appropriate for our size, what to alert on

6. Security and secure-by-default standards — PBX exposure, AI voice agent integrations, carrier-facing endpoints

7. Hidden risks and pitfalls — what problems we will hit that we have not anticipated

PHASE 2 — ONGOING MONTHLY ENGAGEMENT (10-30 hours/month)

HANDS-ON ENGINEERING WORK (most of the hours):
- Build and tune any required SBC layer (Kamailio + RTPengine) per Phase 1 design
- Implement routing logic for new carriers as we add them
- Add monitoring instrumentation (Homer SIP, Prometheus exporters, Grafana dashboards)
- Tune PBX cluster configuration including failover and load balancing
- Apply upgrades, patches, and security hardening over time
- Implement backup procedures and run regular DR drills
- Adjust configurations when business requirements change

ADVISORY AND OVERSIGHT WORK:
- Review changes we or other contractors propose
- Validate technical decisions before we commit
- Quarterly architecture review and capacity planning

INCIDENT RESPONSE:
- Second-line engineer when production breaks and our internal capacity is exhausted
- Expected: 1-3 serious incidents per month at first, decreasing as system matures
- Not a 24/7 SLA — response within a few hours during business hours, best-effort outside

Minimum 10 hours/month, maximum 30 hours/month, with 3-month initial commitment then month-to-month renewal.

═══════════════════════════════════════════════════
REQUIRED EXPERIENCE AND SKILLS
═══════════════════════════════════════════════════

MUST HAVE:
- 10+ years in carrier-grade VoIP or hosted PBX engineering AND architecture — you must be able to BOTH design and IMPLEMENT
- HANDS-ON Kamailio configuration experience — you have written and maintained production Kamailio configs, not just reviewed them
- HANDS-ON RTPengine experience — production media anchoring deployments, bridge vs proxy mode, codec passthrough
- Production experience with multi-tenant hosted PBX or ITSP platforms
- Deep SIP protocol expertise — you read INVITE, REGISTER, SDP, and debug from packet captures without difficulty
- Linux server administration: iproute2, MTU and fragmentation handling, source-based routing, iptables/nftables, systemd
- Hypervisor and virtual networking: KVM/VMware/Hyper-V virtual switches, jumbo frames, MTU consistency, NIC offloading
- National-carrier SIP trunk integration experience (private IP, MPLS, symmetric routing patterns, VLAN delivery)
- Production debugging skills: tcpdump, Wireshark, sngrep, Homer
- Configuration management discipline — Git, version control, change documentation
- Native or fluent English

STRONGLY DESIRED:
- Have advised small-to-mid hosted PBX operators on scaling and reliability
- Familiarity with Eastern European / Balkan carrier requirements
- Experience with HA/failover designs for clusters of 2-10 PBXes
- Backup, disaster recovery, and incident response experience
- Experience with AI voice agent platform integrations

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WHAT WE PROVIDE
═══════════════════════════════════════════════════

- Detailed onboarding document (current architecture, active problems, team contacts) already written
- Access to configuration summaries, packet captures, and logs from 6 weeks of debugging
- Direct access to our CEO (decision maker) — no procurement delays
- Direct contact with our PBX vendor's support team and datacenter network team
- Mutual NDA on request
- Fast payment via Upwork milestones

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HOW TO APPLY
═══════════════════════════════════════════════════

In your proposal, please include:

1. Brief description of 2-3 similar advisory + engineering engagements you have done (anonymized is fine)

2. Your view: when does it make sense to use a PBX vendor's native features for carrier integration versus deploying a separate Kamailio SBC layer? Give one example of each.

3. The first 3 questions you ask when assessing the stability of a small hosted PBX deployment.

4. Your availability — realistic hours per week, time zone, response time expectation.

5. Your rate (hourly or monthly retainer) and minimum engagement.

6. Whether you are open to a 3-month minimum retainer commitment after Phase 1.

We will ignore generic copy-paste proposals. We want to talk to someone who reads our specific problem statement and responds to the specifics.

We are willing to pay top of the range for the right person.

We are looking for an experienced Software Performance Tester to evaluate the scalability, stability, and responsiveness of our applications under different load conditions.

You will be responsible for designing and executing performance tests, identifying bottlenecks, analyzing system behavior, and providing actionable recommendations to improve application performance.

Responsibilities:
Design and execute load, stress, spike, endurance, and scalability tests
Analyze application performance under varying user loads
Identify performance bottlenecks in APIs, databases, backend services, and infrastructure
Create test scenarios based on real-world user behavior
Monitor system metrics such as response time, throughput, CPU, memory, and network usage
Prepare detailed performance test reports with findings and recommendations
Work closely with developers, QA teams, DevOps, and business stakeholders
Validate system stability and reliability before production releases
Support performance optimization initiatives
Ensure applications meet performance benchmarks and SLAs

Required Skills:
Strong experience in software performance testing
Hands-on experience with tools such as JMeter, LoadRunner, Gatling, k6, or similar
Strong understanding of load testing, stress testing, and performance engineering concepts
Experience testing APIs, web applications, and distributed systems
Ability to analyze logs, monitoring data, and performance metrics
Understanding of databases, caching, server architecture, and network fundamentals
Experience with monitoring tools such as Grafana, Prometheus, New Relic, Dynatrace, AppDynamics, or similar
Strong analytical and troubleshooting skills

Preferred:
Experience with cloud environments such as AWS, Azure, or GCP
Experience with CI/CD integration for performance testing
Knowledge of microservices architecture and containerized environments
Experience with SQL and backend performance optimization

Please include in your proposal:
Your performance testing experience
Tools and technologies you have worked with
Examples of applications or systems you tested
A performance issue you identified and how you solved it
Your availability and working hours

• Walk me through how you plan and execute a performance testing strategy for a web application.
• Describe a major performance bottleneck you identified and explain how you analyzed it.
• Explain how you determine whether a performance issue is caused by the application, database, infrastructure, or network.

We are building a next-generation on-chain prediction market platform at Opinion.trade
and are looking for a senior-level DeFi / quantitative infrastructure engineer or small team to design and develop an internal market-making and liquidity engine for the platform.

This is not a standard Web3 application project. We are specifically looking for candidates with strong experience in algorithmic market making, DeFi trading infrastructure, prediction markets, sportsbook-style pricing systems, exchange infrastructure, quantitative trading systems, low-latency backend architecture, inventory and risk management, and market microstructure.

Experience with systems or protocols similar to Polymarket
, Hyperliquid
, dYdX
, Drift Protocol
, GMX
, orderbook exchanges, market making systems, sportsbook odds engines, or trading infrastructure is highly valuable.

The goal is to build a production-grade internal liquidity and pricing engine capable of maintaining healthy liquidity across prediction markets while minimizing spread, slippage, inventory imbalance, and platform risk. The system should continuously calculate fair probabilities, generate dynamic bid and ask quotes, adapt spreads based on volatility and liquidity conditions, manage inventory exposure, monitor risk, and execute and reprice orders in real time.

The bot should support binary and multi-outcome prediction markets and include inventory-aware quoting, automated quote refresh and replacement, liquidity bootstrapping for new markets, configurable risk parameters, dynamic spread management, and exposure balancing. We expect the pricing engine to incorporate internal order book activity, trading flow, liquidity depth, volatility metrics, oracle feeds, probabilistic adjustments, and external market signals when relevant.

We are especially interested in engineers familiar with market microstructure, probabilistic systems, inventory risk models, Avellaneda-Stoikov style market making, sportsbook pricing logic, low-latency execution systems, MEV-aware infrastructure, and on-chain trading constraints. Experience building HFT-style systems, exchange infrastructure, DeFi execution engines, or quantitative trading systems is a major plus.

The execution layer should support low-latency order placement, order cancellation and replacement, batching, gas optimization, nonce management, mempool awareness, EVM transaction signing, and multi-wallet management. The system should be modular, scalable, and production-ready.

Strong blockchain integration experience is required, including Solidity, ethers.js or viem, smart contract interactions, Foundry or Hardhat, Polygon/Base/Arbitrum/Ethereum ecosystems, and oracle integrations such as Chainlink, Pyth, or UMA.

Preferred backend stack is Rust or Go, although TypeScript/NestJS is acceptable if the architecture quality and performance are strong. Experience with Redis, PostgreSQL, Kafka or NATS, Docker/Kubernetes, Prometheus, and Grafana is highly preferred.

The platform should also include advanced risk-management protections such as per-market exposure limits, global exposure controls, volatility halts, inventory thresholds, abnormal activity detection, quote throttling, oracle anomaly handling, and anti-manipulation protections.

Monitoring and analytics are important. We need visibility into liquidity depth, quote uptime, fill ratios, realized and unrealized PnL, inventory exposure, transaction failures, gas costs, system latency, and overall market activity.

The initial MVP should focus on binary prediction markets with automated quoting, inventory management, risk controls, EVM execution, and production-ready backend infrastructure. Future phases may include AI-assisted pricing models, cross-market hedging, external exchange integrations, arbitrage systems, and advanced quantitative strategies.

When applying, please include examples of relevant DeFi or trading infrastructure you have built, protocols or exchanges you worked with, experience with market making or quantitative systems, your preferred architecture approach and backend stack, and your availability for a technical discussion. Strong preference will be given to candidates with real trading infrastructure, exchange, sportsbook, or quantitative systems experience over general Web3 application development backgrounds.

Job Title:
Python Developer — Web Scraping,
Data Processing & Dashboard

About AtlanTech:
We are a technology company working with
agencies and businesses across the US and Europe.
We deliver data solutions as a white-label
development partner.

Role: Freelance Python Developer
Type: Project-based (potential to grow full-time)
Location: Remote

What you'll work on:
→ Web scraping and automated data collection
→ Data cleaning and processing pipelines
→ Dashboard and data visualization
→ API integration and data delivery
→ Scheduled automation scripts

What we're looking for:
→ 2+ years Python experience
→ Strong web scraping skills
(BeautifulSoup, Scrapy, Selenium)
→ Data processing (Pandas, NumPy)
→ Dashboard experience
(Grafana, Power BI, or similar)
→ API integration experience
→ Reliable, deadline-driven mindset
→ Good English communication

What we offer:
→ Competitive per-project rates
→ Flexible remote work
→ Consistent pipeline as we grow
→ Full-time opportunity for the right person

To apply, please share:
→ Your experience and background
→ Web scraping or dashboard projects
→ Your availability and rate expectations

I need my production Kubernetes cluster moved from Calico CNI to Cilium CNI with zero-downtime, production-grade encryption and greatly strengthened security controls. The main driver behind the change is enhanced security, so the work must enable wire-speed, node-to-node encryption, fine-grained network policy enforcement and any Cilium eBPF features that raise the overall security posture.

Because we do not yet run a monitoring stack, part of the engagement is to stand up a new observability layer. Leveraging Hubble is the natural starting point, and I am open to whichever back-end you prefer for metrics and dashboards—Prometheus/Grafana, OpenTelemetry, or another first-class option—provided the end result offers clear, real-time visibility into flows, latency, dropped packets and policy violations.

Please plan for a live environment comprising multiple worker nodes and critical workloads that cannot experience interruption.

Deliverables
• Migration plan outlining prerequisites, rollback strategy and expected impact
• Automated deployment (Helm, GitOps or comparable) of Cilium with encryption enabled
• Replacement of existing Calico policies with equivalent or stronger Cilium policies, validated in staging and then production
• Fresh observability stack configured and documented
• Knowledge-transfer session and concise run-book for ongoing operations and upgrades

Acceptance criteria: all pods communicate without regression, encrypted traffic can be verified, network policies behave as intended, and dashboards show end-to-end flow data.

If you have hands-on success stories performing Calico-to-Cilium cutovers in high-traffic clusters, I would like to review them along with your proposed timeline.

Skills: Cloud Computing, Encryption, Kubernetes, DevOps, Network Security, Automation, Microservices, Containerization

Looking for Long-Term Freelancer - DevOps Engineer

We are looking for a talented DevOps Engineer to join us as a permanent freelancer on a long-term ongoing project basis. If you are someone who has hands-on experience working on real-world projects, is passionate about your craft, always eager to learn, and ready to grow with a team that values your contribution, we would love to hear from you.

We are looking for someone who wants to build something meaningful, not just complete a one-off task.

About Us

We are a technology company and proud partners of both Microsoft and IBM Cloud. We work on large-scale, enterprise-grade projects and our infrastructure demands the best. Joining us means working on real, meaningful systems with the backing of world-class technology partnerships.

You are a good fit if you:
- Have 2+ years of hands-on experience with Linux servers, deployments, AWS, GCP and Microsoft Azure
- Are comfortable with Docker and CI/CD pipelines
- Have worked with monitoring and observability tools (Prometheus + Grafana + Loki + Tempo)
- Enjoy automating things and making infrastructure more reliable
- Are always looking to expand your DevOps skill set
- Bonus: Experience with PHP, Laravel, MySQL, Microservices, RabbitMQ, Kong, Keycloak, Kubernetes

What working with us looks like

We genuinely invest in the people we work with. You will have a clear scope of work, consistent feedback, and real opportunities to grow your skills on interesting and varied projects. We do not micromanage. We trust our team and we make sure the work is rewarding and well compensated.

This is a permanent freelance position, meaning consistent monthly pay, stable ongoing work, and a real long-term relationship, not just another short project.

Engagement details
- Type: Permanent freelance, long-term ongoing project basis
- Hours: Flexible but consistent
- Pay: Competitive based on experience
- Start: As soon as possible

Your bid must include link to your portfolio, your experience and links to projects you have worked on.

Skills: PHP, Linux, Amazon Web Services, Docker, Google Cloud Platform, Prometheus Monitoring, Microsoft Azure, DevOps, Microservices, CI/CD

We already have the backend infrastructure deployed on DigitalOcean, including:
CI/CD pipelines
Monitoring & Grafana
Production deployment flow
Backend DNS and SSL
Auto-deployment setup
Your responsibility is to align the frontend infrastructure that built with React.js and deployment with the existing backend DevOps architecture.
Backend stack is already live and should remain consistent with frontend deployment strategy.
Backend references:
API: https://backend.safrino.com/
Grafana: https://grafana.safrino.com/

Scope of Work
🔹 Milestone 1 — Frontend Production Deployment
Goal: Deploy frontend cleanly into the existing infrastructure
Tasks:
Review existing backend infrastructure and deployment flow
Setup frontend production and staging deployment on DigitalOcean
Dockerize frontend
Connect frontend to production backend securely
Configure environment variables securely
Configure frontend reverse domain routing: safrino.com
Configure Cloudflare integration (DNS, CDN)
Ensure deployment structure aligns with existing backend DevOps architecture

Budget: $50


🔹 Milestone 2 — Frontend CI/CD & Reliability
Goal: Stable and automated frontend deployment process
Tasks:
Setup frontend CI/CD pipeline
Auto-deploy from GitHub branches
Configure rollback strategy
Configure zero-downtime deployment
Integrate frontend logs/errors, and alerts into the existing monitoring stack
Configure uptime monitoring and health checks
Ensure frontend metrics integrate properly with Grafana
Documentation:
deployment process
rollback process
recovery procedures


Budget: $50

Requirements
Strong DigitalOcean experience
Experience deploying React.js frontend applications
Experience with Cloudflare and CDN optimization
Experience integrating frontend deployments with existing infrastructure
Strong CI/CD experience
Experience with production frontend optimization and monitoring

Important
The backend infrastructure is already deployed and should not be restructured unnecessarily.
The goal is to align frontend deployment cleanly with the current production setup.

# B2B Intelligence Platform Development — Production-Grade AI + Data Pipeline

## Project Overview

We are building a **production-grade B2B intelligence platform** focused on large-scale public data acquisition, AI-powered document intelligence, and real-time business alerts.

The platform will crawl and process data from **50+ public-facing websites**, extract structured intelligence from multilingual PDFs (English, Hindi, Marathi), and deliver actionable insights through search, AI-generated reports, and multi-channel notifications.

This is a **long-term product engagement**, not a short-term prototype assignment.

The selected team/freelancer will work on a high-scale architecture designed for:

* Large-volume document ingestion
* AI-assisted extraction pipelines
* Search + semantic intelligence
* Risk scoring
* Real-time alerts
* Enterprise-grade observability
* Scalable AWS infrastructure

NDA is mandatory before sharing complete architecture, workflows, source mappings, schemas, and internal business logic.

---

# Required Technical Skills

## Backend & Core Stack

* Python 3.11
* FastAPI
* asyncio
* asyncpg
* Production-grade architecture
* Typed, tested, maintainable code

## Web Crawling & Data Acquisition

* Playwright
* httpx
* curl-cffi
* JS-rendered page handling
* Session management
* Queue-based distributed crawling
* Rate limiting & retry orchestration

## Document Processing & OCR

* pdfplumber
* PyMuPDF
* Tesseract 5
* Hindi + Marathi OCR language packs
* OCR fallback pipelines

## AI / LLM Integration

* Anthropic Claude API
* OpenAI API
* Structured JSON extraction
* Schema validation
* Confidence scoring
* Embedding pipelines

* OpenAI text-embedding-3
* BGE-M3

## Data & Search Infrastructure

* PostgreSQL 14+
* JSONB
* Query optimisation
* Table partitioning
* pgvector
* OpenSearch / Elasticsearch
* Custom analyzers for multilingual search
* Redis for queues, caching, throttling

## Cloud & DevOps

* AWS ap-south-1 (Mumbai only)
* ECS Fargate
* S3
* RDS
* IAM
* Secrets Manager
* Docker
* Terraform
* GitHub Actions

---

# Preferred / Bonus Skills

* Apache Airflow / MWAA
* Indic-language NLP experience
* React + TypeScript
* WhatsApp Cloud API
* Firebase Cloud Messaging
* AWS SES
* Sentry
* OpenTelemetry
* Grafana
* LLM cost optimisation strategies
* High-scale document processing systems
* DPDP Act 2023 compliance
* Experience handling 10,000+ documents/day pipelines

---

# Scope of Work

The selected developer/team will build the following production components:

### Core Pipeline

1. Distributed web crawler
2. Document acquisition engine
3. S3 document storage layer
4. OCR cascade pipeline
5. Section detection engine
6. Structured field extraction
7. Revision diff engine
8. Change classification layer
9. Intelligence/risk scoring engine
10. Hybrid search engine
11. AI-powered report generation
12. Multi-channel alerting engine
13. Admin dashboard
14. Operational tooling & monitoring

---

# Deliverables

## Code Deliverables

* 11 Dockerised microservices
* PostgreSQL schema with migrations
* React + TypeScript admin dashboard
* Public REST APIs
* OpenAPI 3.0 documentation

## Infrastructure Deliverables

* Terraform infrastructure-as-code
* AWS deployment architecture
* ECS deployment pipelines
* CI/CD workflows
* Observability stack
* Production deployment on AWS Mumbai region

## Quality Deliverables

* ≥75% test coverage on core extraction logic
* Integration testing
* Production-scale load testing
* Technical documentation
* Runbooks
* Monitoring dashboards
* Error tracking setup

---

# Important Constraints

* AWS Mumbai region only (ap-south-1)
* Indian data residency mandatory
* No cross-border data transfer
* No anti-bot bypassing
* Only compliant/public-access acquisition flows
* Production-quality engineering required
* Observability + testing mandatory
* IST timezone preferred (±2 hours)

---

# Engagement Model

We are open to:

* Fixed-price engagement
* Milestone-based delivery
* Hourly engagement
* Long-term retainer

Please propose the engagement structure best suited for your team.

---

# What We Are Looking For

We prefer teams/freelancers who:

* Have built production-scale platforms
* Understand distributed systems
* Can work independently
* Write maintainable code
* Think in systems, not just tasks
* Can support long-term product evolution

Please include the following in your proposal:

* Relevant project experience
* Team composition
* Architecture approach
* Deployment strategy
* Sample production systems
* Engagement model preference
* Post-launch support capability

NDA will be executed before detailed technical discussions.

Skills: Python, Cloud Computing, PostgreSQL, Web Crawling, Backend Development, OpenAI, AI Development

Our Warehouse OS Operations Console has grown quickly and a few cracks are starting to show. The most pressing pain-point is the dashboard: figures drift from reality, some widgets go blank after long shifts, and operators on the warehouse floor occasionally see numbers that don’t match what our API returns. Because the warehouse team makes real-time decisions from those screens, I want to stabilise dashboard data accuracy first, then move on to the remaining back-end and UI clean-up work already scoped.

Current stack & context
– Node/Express services expose REST + WebSocket feeds
– PostgreSQL with logical replication to a read replica for the console
– React + Redux front end wrapped in an Electron shell for the large-format terminals
– Redis and Bull queue for product file loading and issuance workflows

Key objectives you’ll tackle in this first phase
1. Trace and eliminate the drift between inventory counts in the DB and the dashboard tiles shown to Warehouse operators.
2. Harden the data pipeline so every dashboard refresh (manual or auto) reflects the last committed transaction with sub-second latency.
3. Add granular logging and validation so any future mismatch is captured with context (user id, replica lag, cache state).
4. Respect role considerations: Warehouse operators should never see partial or stale information that an Admin might tolerate for audit work.

If time allows in the same sprint we can also start closing related tickets around Product ID / ContentHash generation, device-bound issuance quirks, and SKU synchronisation, but the dashboard fix remains milestone #1.

What I need from you
• A quick walk-through of similar real-time dashboard or admin-panel issues you’ve solved (links or repo snippets are fine).
• Your preferred tech stack or any tooling you’d introduce (SQL profiler, Grafana, Kibana, Jest, Cypress, etc.).
• An outline timeline with checkpoints—especially how long you expect until we see the first verified “no-drift” dashboard refresh.
• Anything you need from me (schema diagrams, staging credentials, data samples).

Deliverable acceptance criteria
– 100 % match between API JSON payload and rendered dashboard values during a 48-hour stress test.
– Replica lag alerts fire when latency exceeds 500 ms.
– Warehouse operator role verified in staging with accurate, complete data across shift changes.

I’m happy to extend the collaboration into the broader backlog once the console proves rock-solid again.

Skills: JavaScript, NoSQL Couch & Mongo, Node.js, PostgreSQL, Redis, AngularJS, RESTful API, API Development, API Integration, REST API

We are looking for a practical, reliable DevOps Engineer to support and improve an existing SaaS platform hosted on AWS.

This is NOT a greenfield setup. Infrastructure already exists. We need someone who can work within an existing environment, improve reliability, automate deployments, support async/background processing, and help us scale safely without over-engineering.

## Our Stack

* Laravel (API-driven backend)
* React / Vite frontend
* PostgreSQL
* AWS infrastructure
* Background jobs / async workflows
* Document uploads & processing

## What We Need Help With

* Improving and maintaining CI/CD pipelines
* AWS infrastructure management and optimization
* Queue/workers reliability and monitoring
* Deployment automation and rollback strategies
* Monitoring, logging, alerting, and troubleshooting
* Security best practices and secrets management
* Cost optimization where appropriate
* Improving operational reliability and maintainability

## Technologies We Use / Expect Familiarity With

* AWS (EC2, ECS, RDS, S3, IAM, CloudWatch, Route53)
* Laravel queues / workers
* Redis and/or SQS
* Docker
* Terraform or Infrastructure as Code concepts
* GitHub Actions or similar CI/CD tools
* PostgreSQL
* Linux server administration

## Nice to Have

* Experience with SaaS platforms
* Experience supporting async/event-driven systems
* Laravel deployment experience
* ECS experience
* Sentry, Prometheus, Grafana, or similar monitoring tools

## Important

We are NOT looking for someone who immediately wants to:

* rebuild everything into microservices
* introduce unnecessary Kubernetes complexity
* over-engineer the platform

We value:

* practical thinking
* operational maturity
* reliability
* clean automation
* clear communication (Proficient in English)

## Engagement

* Part-time
* Long-term potential
* Flexible hours
* Small, focused engineering team

## When Applying

Please include:

1. Examples of Laravel or SaaS systems you’ve supported
2. Your experience with AWS and CI/CD
3. A brief example of a production issue you solved
4. Your preferred approach for managing queues/workers in production

We are looking for someone who can improve an existing system safely and pragmatically, not just deploy infrastructure from scratch.

Need help with setting up glue jobs, cloud formation, and policies.

Description
Mamo is a DIFC-regulated fintech platform serving SMEs across the UAE. We are looking for a contract Infrastructure Engineer to take ownership of a meaningful backlog of infrastructure work that has built up as the business has scaled.

This is a part-time engagement. If the engagement goes well, we are open to transitioning to a longer-term or full-time arrangement.

This role is purely infrastructure: GCP, Kubernetes, Terraform, secrets, networking, and monitoring. Application development, CI/CD pipelines, and application-level configuration are handled by our internal team. We need someone who can come in, understand what we have, identify what needs fixing, and execute with a high degree of autonomy.

What you will do
- Conduct a full audit of our existing GCP infrastructure and produce a prioritised remediation plan.
- Kubernetes cluster upgrades (GKE) — node pool management, version upgrades, and cluster health.
- PostgreSQL database upgrades and ongoing reliability improvements.
- Rebuild and restructure our Terraform codebase for maintainability and long-term consistency.
- Secrets management — audit current state, migrate to GCP Secret Manager or equivalent, and establish best practices across services.
- Infrastructure cost audit and optimisation — identify waste and reduce spend without compromising reliability.
- Alerting and monitoring — set up and improve coverage across services using Grafana, Prometheus, and GCP Cloud Monitoring.
Address backlog of security alerts (Spidersilk medium and low severity findings).
- Infrastructure setup for a third-party integration: VPN configuration, TLS certificates, and environment isolation.
- Provision additional GCP environments for new product workloads.

What we’re looking for
- 5+ years of infrastructure or DevOps engineering experience, with a strong focus on GCP.
- Deep hands-on experience with GKE and Kubernetes — cluster management, upgrades, node pools, and RBAC.
- Terraform proficiency — able to audit, refactor, and rebuild infrastructure-as-code from an existing base.
- PostgreSQL database administration — version upgrades, performance tuning, and reliability.
- Secrets management: GCP Secret Manager, HashiCorp Vault, or equivalent.
- Network-level infrastructure: VPN setup, TLS and certificate management, firewall and ingress configuration.
- Monitoring and alerting: Grafana, Prometheus, GCP Cloud Monitoring.
- Security-first mindset — experience conducting infrastructure security audits and working through remediation backlogs.
- Independent and reliable — full ownership, proactive communication, no close supervision needed.
- Strong written English for documentation and async communication.

Bonus, if you have
- Familiarity with fintech or regulated financial services infrastructure.
- Experience with cloud security posture management tools (Spidersilk, Prisma Cloud, or similar).
- Docker and container security best practices.
- Experience setting up isolated environments and network peering across GCP projects.

Engagement details
- Part-time, fully remote.
- GCP environment access will be provisioned — you will not be starting from scratch.

• How many years of hands-on GCP experience do you have?
• Have you managed Kubernetes clusters in production (upgrades, node pools,RBAC)?
• Which IaC tools have you used in the last 2 years?
• Do you have experience with secrets management tooling (GCP Secret Manager Vault, or equivalent)?
• Have you conducted a full infrastructure cost audit and optimisation exercise before?

⚠️ MANDATORY: NATIVE Mandarin Chinese speakers only. Do not apply if you are not a native speaker; your application will not be considered.

🚀 About the Role
You will own the observability platform and CI/CD pipelines in a fast-paced startup environment.
Noted: Must be flexible with weekend availability when mission-critical needs arise (standard protocol is to notify in advance if unavailable).

✨ Key Requirements (7+ Years Experience)
*AI-Native Automation: Must have delivered production-grade automation using Claude Code. Daily use of AI tools (Cursor, Copilot, ChatGPT) is a hard requirement.
*Observability: Proven track record of building end-to-end monitoring/alerting from scratch (Prometheus, Grafana, VictoriaMetrics/Thanos).
*Kubernetes Mastery: Deep experience in deployments, Ingress, Canary patterns, and multi-env management.
*CI/CD & Infra: Hands-on with Jenkins (Groovy), Docker, and ELK Stack (Logstash/Log-to-metric).
*Cloud Ops: Production experience with AWS (ECS/CodeDeploy).
*Troubleshooting: Systematic Root Cause Analysis for complex production incidents.

⭐ Nice to Have
*Experience with Oracle Cloud Infrastructure (OCI).
*Familiarity with Google SRE practices (SLO/Error Budgets).
*Node.js containerization and version migration.

• Please share your most challenging production-grade automation case using Claude Code. What specific problem did you solve, and how did you ensure the stability of AI-generated scripts in production?
• When building a large-scale observability system from scratch, how do you choose your tech stack? Briefly explain your logic for designing a tiered alerting strategy.

TRIADIC.ai is a pre-seed AI infrastructure startup currently in the planning and fundraising phase.

Our goal is to build dedicated, managed sovereign GPU capacity for European enterprise AI workloads. We are planning the infrastructure in North Macedonia, but the exact location is still open. We are currently evaluating suitable sites with real estate agents and technical partners based on power availability, fiber connectivity, cooling options, building suitability and total cost.

We are preparing a first 32–64 GPU deployment and need support from an AI / GPU Infrastructure Engineer with strong DevOps and Linux experience.

Responsibilities:

* Support planning of GPU infrastructure for AI inference, fine-tuning, RAG and private model deployment
* Advise on Linux server setup, GPU drivers, NVIDIA CUDA and containerized workloads
* Help design Kubernetes/Docker-based infrastructure for GPU workloads
* Support monitoring, logging and automation setup
* Advise on storage, networking and workload orchestration
* Help evaluate hardware vendors and technical requirements
* Identify infrastructure risks before investor and deployment decisions
* Create clear technical documentation and recommendations

Ideal background:

* Linux, Docker, Kubernetes and DevOps
* NVIDIA CUDA / GPU infrastructure experience
* MLOps or AI infrastructure experience
* Prometheus/Grafana monitoring
* Terraform, Ansible or similar automation tools
* Experience with high-performance or data center infrastructure is a plus

We are looking for someone practical, reliable and technically strong who is based in North Macedonia or open to working with a North Macedonia-based infrastructure project, and who could potentially become part of the early TRIADIC technical team if fundraising is successful.

Freelance DevOps / Cloud Infrastructure Engineer required to support the migration, scalability, optimization, and security readiness of Planorama, event-tech SaaS platform. The role includes setting up and managing AWS infrastructure including EKS, VPC, IAM, RDS, S3, and ALB, along with handling staging and production deployments, CI/CD pipelines, application containerization, infrastructure migration, and security best-practice implementation.

Strong experience with AWS, Kubernetes (EKS), Docker, CI/CD pipelines, monitoring and logging tools such as Grafana and Sentry, infrastructure security, and SOC 2 readiness is preferred. Responsibilities will also include performance optimization, scalability improvements, deployment debugging, security reviews, access control recommendations, backup and logging strategies, and architectural guidance around asynchronous workloads, cron jobs, microservices, and data archival strategies.

We are looking for a Senior Backend Engineer to join our team working on ETL re-platforming and building a multi-tenant, event-driven architecture.

This is a hands-on engineering role focused on designing and implementing high-performance backend systems, scalable data pipelines, and real-time data processing workflows.

You’ll collaborate closely with Data, Platform, and DevOps teams to build systems that are reliable, observable, and production-ready at scale.

⚙️ What You’ll Do
Design, build, and maintain Go-based microservices powering core systems
Develop and optimize ETL/ELT pipelines and distributed data flows
Work with event-driven systems (Apache Pulsar, Kafka, or NATS)
Contribute to system re-architecture and platform modernization
Implement observability (logging, metrics, tracing) for production systems
Deploy and manage services in Kubernetes environments
Collaborate on data architecture, platform engineering, and DevOps workflows
Participate in code reviews, performance tuning, and technical discussions
🧠 Required Skills
10+ years of backend development experience
5+ years of hands-on experience with Go (Golang)
Strong experience with microservices and distributed systems
Experience with event-driven messaging systems (Kafka, Pulsar, or NATS)
Solid understanding of ETL/ELT pipelines and data processing
Strong SQL skills and experience with NoSQL databases
Experience working with Kubernetes (deployments, scaling, configuration)
Familiarity with CI/CD pipelines (GitHub Actions or similar)
Strong communication skills (English)
☁️ Nice to Have
Experience with Apache Iceberg, Polaris, or Trino
Knowledge of multi-tenant data architectures
Experience with observability tools (Prometheus, Grafana, OpenTelemetry)
Familiarity with AWS, GCP, or Azure
Experience with C/C++ (high-performance systems, concurrency)
💡 Why Join Us
Work on high-scale, real-time data systems
Solve complex distributed systems and data engineering challenges
Collaborate with a strong engineering team
Opportunity for long-term engagement and impact

• Describe your recent experience with similar projects
• What frameworks have you worked with?
• Include a link to your GitHub profile and/or website
• Please list any certifications related to this project

Senior Site Reliability Engineer
Remote | Contract | $20-$30/hour
About Blitzy
Blitzy is a Cambridge, MA-based AI software development platform transforming how enterprises build software. Our agentic platform autonomously executes 80% of the software development lifecycle - turning enterprise requirements into production-ready code. We're backed by tier 1 investors and serve Fortune 500 customers.
The Role
We're looking for a Senior SRE to own reliability, scalability, and operational excellence for our AI-powered development platform. This is a hands-on role for an engineer who takes deep ownership of the systems they build and thrives in a fast-moving environment.
What You'll Own

Design, build, and operate scalable, fault-tolerant infrastructure across cloud environments (AWS preferred)
Define and enforce SLOs, SLAs, and error budgets; lead blameless postmortems
Build and maintain CI/CD pipelines, release automation, and deployment infrastructure
Own observability: logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, OpenTelemetry)
Partner with software engineering teams to embed reliability practices into the development lifecycle
Drive capacity planning, performance benchmarking, and cost optimization
Champion security best practices within infrastructure and deployment layers

Required Experience

5+ years in Site Reliability Engineering, DevOps, or Infrastructure Engineering
Strong proficiency in at least one major cloud platform (AWS preferred)
Hands-on with Kubernetes and container orchestration at scale
Experience with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
Proven track record with high-availability, distributed systems
Deep expertise in observability tooling, incident management, and on-call practices
Strong scripting and automation skills (Python, Go, Bash, or similar)

What Makes You Stand Out

Experience supporting AI/ML workloads or GPU-accelerated infrastructure
Familiarity with eBPF, service mesh technologies (Istio, Linkerd), or advanced networking
Prior experience in a high-growth startup
Contributions to open-source SRE/DevOps tooling
Experience with global, multi-region infrastructure

How to Apply
To be considered, you must complete our technical assessment as the first step. This is mandatory for all applicants.
Step 1 - Complete the technical assessment:
https://coderbyte.com/sl-candidate?promo=blitzyai-soqdn:dev-ops-k8-wg6dl5bse-cv3hmpl&invb=user5x59dzwi
Please complete this before or immediately after submitting your proposal. Your performance on this assessment will be heavily weighted in our evaluation. You are welcome to use any online resources.
Step 2 - Interviews with Blitzy management
Step 3 - Offer notification with timeline to accept
How We Work
We move fast, take ownership, and hold each other to high standards. We're pushing the frontier of what's possible in software development and we work for the customer above all else.

I'm seeking an experienced DevOps engineer to optimize my custom-built CRM system. The CRM is built with the help of Cloud technologies.

Key areas I need assistance with:
- Infrastructure Automation
- CI/CD Implementation
- Monitoring and Performance Tuning

Ideal Skills and Experience:
- Strong background in Cloud technologies
- Expertise in infrastructure automation tools (e.g., Terraform, Ansible)
- Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI)
- Proficiency in monitoring tools (e.g., Prometheus, Grafana)
- Ability to troubleshoot and optimize performance in cloud environments

Please provide examples of similar projects you've completed.

Skills: System Admin, Cloud Computing, Network Administration, Data Integration, DevOps, Ansible, CI/CD

We are seeking a Senior WSO2 Developer for a long-term enterprise client engagement. This is a 1-year project with strong potential for extension.

The ideal candidate will have hands-on experience with:
- WSO2 development and enterprise API management
- Enterprise API and integration development
- REST and SOAP web services
- Java and Spring Boot backend support
- JSON, XML, and ACORD XML processing
- Quote API, PL Rater, LMS API, and ACA-to-LMS integrations
- Salesforce integration
- Vertafore platforms
- RabbitMQ messaging
- SIT and UAT support
- Grafana monitoring and troubleshooting
- Swagger and SoapUI
- Bitbucket and Jira

Responsibilities:
- Design, develop, and support enterprise integrations using WSO2.
- Build and maintain REST/SOAP APIs and backend services.
- Support Java/Spring Boot applications related to integration workflows.
- Process and troubleshoot JSON, XML, and ACORD XML payloads.
- Work on insurance-related integrations including Quote API, PL Rater, LMS API, ACA-to-LMS, Salesforce, and Vertafore.
- Assist with SIT/UAT testing, defect resolution, and production support.
- Use tools such as Grafana, Swagger, SoapUI, Bitbucket, Jira, and SQL for monitoring, testing, version control, tracking, and debugging.

Preferred Candidate Profile:
- Senior-level experience with WSO2 and enterprise integrations.
- Strong understanding of API management, middleware, and integration patterns.
- Experience working in enterprise or insurance-domain environments.
- Ability to troubleshoot complex integration issues across multiple systems.
- Strong communication and documentation skills.

• How many hours can you spend every day and week? When can you get started with our project? Are you able to work in U.S timezone?
• Please attach your resume.
• Describe your recent experience with similar projects

We are building a next-generation Server Management Platform that enables centralized control, provisioning, monitoring, and lifecycle management of bare-metal infrastructure across multiple datacenters.
The platform covers:
Hardware discovery (Redfish, IPMI, SNMP, SSH)
Remote power control & KVM access
OS provisioning (Linux + Windows via PXE/iPXE)
Hardware configuration (RAID, BIOS/UEFI, firmware lifecycle)
Monitoring & alerting (Prometheus/Grafana)
Role-based access control (RBAC/SBAC)
Multi-tenant scalable architecture (10K–25K devices)


The system is being delivered in phases:
POC (8–10 weeks): Discovery, power control, monitoring, UI
Phase A: Provisioning, firmware, hardware configuration
Phase B: Security, scale, enterprise features
(Reference: Tiered delivery model already defined)

Responsibilities :

Design and implement backend services for bare-metal infrastructure management
Build and extend:
Discovery engine (Redfish/IPMI/SNMP/SSH)
Provisioning system (PXE/iPXE, Kickstart, Preseed, WinPE)
Hardware abstraction layer across vendors (Dell, HP, Supermicro)
Develop APIs (REST/gRPC) for control plane operations
Implement async job orchestration (provisioning, firmware updates, etc.)
Work with monitoring stack (Prometheus, Alertmanager, Grafana)
Handle hardware lifecycle operations:
RAID configuration
BIOS/UEFI settings
Firmware updates (safe rollout strategies)
Collaborate with frontend and DevOps teams
Contribute to architecture decisions and system scalability

Required Skills (MUST HAVE)

Strong experience with bare-metal infrastructure
Hands-on experience with:
Redfish API
IPMI
BMC interfaces (iDRAC, iLO, etc.)
Deep understanding of:
PXE / iPXE boot process
OS provisioning (Linux & preferably Windows)
Strong backend development experience in:
Go (preferred) OR Python
Experience with:
REST/gRPC APIs
asynchronous systems / job queues (NATS, Kafka, etc.)
Linux system internals and networking fundamentals

Please Answer :

Have you worked directly with Redfish or IPMI APIs? Explain your experience.
Describe how PXE boot works end-to-end.
Have you implemented OS provisioning for bare-metal servers?
Explain how you would safely roll out firmware updates across multiple servers.
What backend language have you used for infra systems (Go/Python)? Share example.

• Have you implemented OS provisioning for bare-metal servers?
• Are you available to work full time - min 6 months. No moonlighting because this project need full commitment.
• Describe your recent experience with similar projects
• Please list any certifications related to this project

We are seeking an experienced DevOps / Infrastructure Engineer to deploy and configure a centralized monitoring platform for our bare metal infrastructure.

Our environment consists primarily of Windows Hyper-V bare metal servers hosting VPS environments. We require a reliable monitoring and alerting system using Prometheus + Grafana (or equivalent modern monitoring stack).

The objective is to build a clean, professional NOC-style monitoring dashboard capable of monitoring approximately 50+ bare metal servers from a single console.

The system should provide real-time visibility into:

CPU usage
RAM usage
Disk/storage utilization
Disk IOPS / storage latency
Server uptime/downtime
Packet loss and latency monitoring
Network health
Hyper-V host monitoring
Basic service health monitoring

The setup should also include:

Email alerts
Discord alerts
Threshold-based alerting
Server downtime notifications
Dashboard organization by location/environment

We are looking for someone with proven experience deploying Prometheus/Grafana in production environments, preferably for hosting providers, cloud infrastructure, or Hyper-V environments.

Security and maintainability are important. The final deployment should include:

Proper authentication/security hardening
Documentation
Clean dashboard layouts
Basic backup recommendations
Easy future scalability

This is NOT a software development role.
We are looking for infrastructure monitoring deployment and configuration expertise.

## Security / Access Requirements

For security reasons, we prefer not to provide direct login credentials to our production bare metal servers.

Preferred approaches include:

* Initial setup via remote session (AnyDesk / screen sharing) where appropriate
* Deployment of the central monitoring server by the freelancer
* Step-by-step documentation and installation guides for our internal team
* Scripts or automation for exporter deployment
* Guidance for Windows Hyper-V node onboarding

Our internal team can assist with installing exporters/agents on production servers based on the provided documentation.

We are looking for someone who is comfortable working collaboratively with limited direct access to production infrastructure.

## Preferred Deliverables

* Prometheus + Grafana deployment
* Alertmanager configuration
* Clean NOC-style dashboards
* Alert configuration (email/Discord)
* Documentation for adding new servers
* Documentation for backup/recovery
* Exporter installation guide for Windows
* Recommended best practices for security and maintenance